Data Platform Architect

Harness is revolutionizing the software delivery landscape with its AI-driven platform, spearheaded by visionary technologist and entrepreneur Jyoti Bansal, the founder of AppDynamics, which was acquired by Cisco for $3.7 billion. With approximately $570 million raised in funding and a valuation of $5.5 billion, Harness is backed by prominent investors, including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI accelerates code generation, the challenges have evolved beyond coding to encompass testing, deployments, application security, reliability, compliance, and cost optimization. Harness integrates AI and automation into this "outer loop," empowering teams to deliver software more rapidly while ensuring security and governance throughout the software delivery lifecycle.Utilizing Harness AI and the Software Delivery Knowledge Graph, the Harness Platform embeds intelligent automation and contextual insights across the software delivery lifecycle, ensuring governance and policy-driven controls are integral to the platform.In the past year alone, Harness has facilitated over 185 million deployments, 82 million builds, 18 trillion flag evaluations, 8 million security scans, 9.1 billion optimized tests, 3 trillion protected API calls, and managed $2.8 billion in cloud expenditure. Our solutions have enabled key clients such as United Airlines, Morningstar, and Choice Hotels to accelerate their release cycles by up to 75%, decrease cloud costs by up to 60%, and achieve a tenfold increase in DevOps efficiency.With a global presence spanning 14 offices and 25 countries, Harness is at the forefront of shaping the future of AI software delivery. We are seeking exceptional talent to join us in our mission to innovate and accelerate.

We are looking for a talented and highly skilled Senior Platform Architect to spearhead the design and implementation of our robust Azure-based SaaS platform. This platform comprises Java-based microservices, a ReactJS frontend, machine learning pipelines, and retrieval-augmented generation (RAG) components.In this pivotal role, you will collaborate closely with Java Tech Leads, Senior DevOps Engineers, Senior ML Engineers, Security teams, and business stakeholders to establish a secure, scalable, and efficient cloud-native architecture. Ensuring security is paramount in this position.Key Responsibilities:1. Platform Architecture & DesignDefine comprehensive architecture for the Azure-based SaaS platform.Design a secure, scalable microservices architecture (preferably using Java/Spring Boot).Establish cloud-native architecture patterns (12-factor app, event-driven, API-first).Create a high-availability, multi-region deployment strategy.Set platform standards for:ObservabilityLoggingMonitoringAPI gatewayService mesh (if required)2. Security Architecture (Critical Area)Design and implement Zero Trust Architecture principles.Establish secure authentication & authorization mechanisms (OAuth2, OIDC, Azure AD, RBAC, ABAC).Lead the identity and access management strategy.Ensure secure API design and protection (rate limiting, throttling, WAF, API management).Define encryption standards (in transit & at rest).Implement a secrets management strategy (Azure Key Vault).Conduct threat modeling and security architecture reviews.Ensure compliance with industry standards (ISO 27001, SOC2, GDPR, etc.).Define DevSecOps practices and establish a secure SDLC.Secure ML and RAG pipelines (data protection, prompt injection mitigation, model access control).3. Azure Cloud ArchitectureDesign and oversee:Azure Kubernetes Service (AKS)Azure App ServicesAzure API ManagementAzure Storage & Databases (SQL/Cosmos/Blob)Event Hub / Service BusAzure AI services (if applicable)Define landing zones and governance model.Implement cost optimization strategies (FinOps awareness).Design multi-tenant SaaS architecture.4. ML & RAG Platform EnablementArchitect infrastructure for:ML model training and deploymentRAG pipelines (vector databases, embeddings, LLM integration)Define data isolation and model security controls.Ensure performance, scalability, and latency optimization.Establish monitoring for ML inference & model drift.5. DevOps & Platform EngineeringWork collaboratively with DevOps on:CI/CD pipeline architecture.Infrastructure as Code (IaC) practices.

About UsAt Rox, our mission is to empower individuals to excel in their work.Our innovative platform equips sellers with autonomous revenue agents, allowing them to concentrate on what they excel at: selling. Just as coding agents transformed engineering, our revenue agents revolutionize customer interactions.We are pioneering the revenue stack by developing the world’s first revenue operating system, covering everything from the application layer to the context system. With Rox, humans transition to orchestration roles while agents handle the complete customer lifecycle.Rox serves Global 2000 leaders across banking, hardware, construction, and advanced AI sectors, while also supporting top-tier AI innovators such as Ramp and Cognition.Our success is grounded in a shared belief in our mission, paired with an unwavering dedication to making it a reality.The TeamOur world-class team is the driving force behind our mission to redefine business operations.Our team members have:Founded and successfully exited companiesHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe have raised $50M from esteemed investors, including Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We strive for perfection in every detail, ensuring that every interaction aids sellers in their tasks and enhances their experience. We are committed to continuous improvement and innovation.Obsession: Commit unreasonably.Our commitment to our craft is unwavering. We proactively drive value and are dedicated to learning and improving our services daily.Action: Get it done.Execution is key. We prioritize thoughtful yet prompt decision-making and swift delivery, building trust through our actions.

Join Wabtec Corporation as a Senior Platform Engineering Architect, where you will play a pivotal role in designing and implementing innovative engineering solutions. In this position, you will leverage your expertise in platform architecture to enhance our technology offerings and drive operational excellence.

Role overview Quince seeks a Staff Data Engineer in Bengaluru, Karnataka, India. This position centers on building and maintaining the core infrastructure behind the company’s data platform. The work directly supports major data initiatives and helps drive informed decisions throughout the business. What you will do Design and develop infrastructure that powers the data platform Maintain and improve systems supporting data needs across the organization Collaborate with other teams to strengthen the broader data ecosystem Requirements Solid background in data engineering Experience architecting and developing data infrastructure Comfort working collaboratively to address challenges Motivation to use data for meaningful solutions Appreciation for innovation and ongoing improvement

Role overview Bosch Group is seeking a Cloud Data Architect in Bengaluru to design and implement cloud-based data architectures for both operational and analytical needs. This role shapes the company’s data strategy and supports projects that rely on secure, reliable, and scalable data solutions. What you will do Design and build cloud data architectures that meet business and technical requirements Implement solutions that support both day-to-day operations and analytics Work closely with cross-functional teams to develop and optimize data processes Help ensure data integrity, availability, and security across all cloud data systems Contribute to data-driven decision-making throughout the organization Location Bengaluru

Role overview Bosch Group is hiring a Cloud Data Architect in Bengaluru. This role leads the design and development of cloud-based data architectures that support integration, storage, and analysis. The position plays a key part in building data solutions that help advance Bosch's technology and services.

Chief Big Data ArchitectBengaluru, IndiaPosition OverviewHuawei is a recognized leader in both fixed and mobile network technologies. As the industry shifts towards a unified CT & IT networking paradigm, we are enhancing our R&D initiatives to develop a scalable, multi-tenant computing and communication infrastructure platform, specifically designed to meet the diverse requirements of our CT & IT clientele.We are seeking talented architects to join our Big Data team at the Huawei India R&D center, where you will play a pivotal role in advancing our big data platform solutions.If you have a passion for big data storage technologies, such as distributed file systems and noSQL data stores, alongside experience with open-source projects like HDFS and HBase, this is an opportunity to lead architectural design, tackle complex technical challenges, and contribute to innovative solutions at Huawei.Key Responsibilities:Collaborate closely with the Product/Platform team in China and the R&D team in the USA to:· Define short-term and long-term business roadmaps for Big Data, addressing customer pain points and delivering competitive products.· Architect and design the next generation of storage engines that are secure, reliable, and scalable.· Analyze challenges in big data storage and innovate solutions for distributed storage engines through POCs and partnerships.· Rapidly iterate on new designs and technologies, delivering prototypes and releases.Qualifications:15+ years of relevant experience in big data and distributed systems.Strong analytical and problem-solving skills.Bachelor's degree or higher in Computer Science or a related field.

Eram Talent, a premier talent acquisition firm, is seeking a talented Data & AI Architect to enhance our team in Saudi Arabia. In this pivotal role, the Data & AI Architect will design and implement innovative data-driven solutions that utilize advanced analytics and artificial intelligence to facilitate business decisions across various projects in the region.The ideal candidate will possess extensive knowledge in data architecture, data modeling, and AI/ML technologies. You will work closely with cross-functional teams to ensure a robust, scalable data architecture that aligns with business strategies. This position presents a thrilling opportunity to innovate and influence the future of data utilization within organizations.Key ResponsibilitiesLead the development of enterprise data architecture and expand it to incorporate AI and MLOps capabilities to support trustworthy analytics and scalable AI delivery.Formulate and execute a comprehensive data architecture strategy that aligns with business objectives and AI initiatives.Create data models, database structures, and data flow processes to guarantee data integrity, accessibility, and security.Design and supervise the deployment of advanced analytics solutions, including machine learning models and algorithms.Collaborate with data engineering and data science teams to ensure the efficiency of data pipelines in line with AI/ML requirements.Establish best practices for data governance, quality, and lifecycle management.Assist in the selection and implementation of data management tools and technologies.Engage with stakeholders to comprehend their data needs and ensure that data solutions deliver maximum business impact.Stay updated on trends in the data and AI landscape, adjusting strategies as necessary to foster continuous improvement and innovation.

Join the Okta Family!At Okta, we are revolutionizing identity management by empowering individuals and organizations to securely access any technology, anywhere, on any device. Our innovative platforms, including the Okta and Auth0 Platforms, are designed to enhance security, streamline authentication, and facilitate automation, placing identity at the forefront of business growth and security.We value diverse perspectives and backgrounds, seeking lifelong learners who can contribute their unique experiences to our mission.Be part of a team that is building a future where identity is truly yours.About OktaOkta is committed to making the world a more secure and interconnected place by enabling organizations to embrace any technology. As the leading independent identity provider for enterprises, we collaborate with a diverse range of clients—from major corporations to innovative startups—to ensure secure connections between people and technology. Our robust AI and data capabilities are pivotal to our growth and success, powering secure and scalable products for both our customer base and employees.The OpportunityWe are on the lookout for a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will play a crucial role in developing the data infrastructure that enables our internal AI initiatives through AI-ready data. Your responsibilities will include transforming our data product vision into a secure, scalable, and sophisticated technical framework.The ideal candidate possesses a strong passion for creating high-quality data solutions. You will contribute to establishing engineering excellence within the team and ensuring our core data platform is reliable and ready to support AI-driven decision-making at Okta.What You’ll DoDesign and maintain efficient data pipelines and models on our AI data platform, leveraging tools such as Snowflake, AWS, and dbt.Implement security and governance components to uphold compliance and security standards.Develop automated solutions for data classification and access control, and support vulnerability management processes.Utilize infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to construct, test, and deploy data infrastructure with security and reliability.Promote and adhere to best practices in code quality, system design, and operational readiness.

Join Our Team at Safe Security At Safe Security, we're pioneering the future of Cyber Super Intelligence (CSI) with an innovative platform that autonomously forecasts, identifies, and mitigates cyber threats. We champion a culture of transparency and collaboration, ensuring that every team member feels valued and empowered in their role. We prioritize a culture-first mindset, offering unlimited vacation, a supportive work environment built on trust, and unwavering commitment to continuous professional development. Our ethos is that Culture is Our Strategy. Dive deeper into the unique qualities that make SAFE exceptional by checking out our Culture Memo.

Harness, a leader in AI-driven software delivery, was founded by notable technologist Jyoti Bansal, who is also the founder of AppDynamics, acquired by Cisco for a staggering $3.7B. With approximately $570M raised in funding and a valuation of $5.5B, Harness is supported by top-tier investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures. As AI revolutionizes code creation, the focus has shifted to optimizing processes beyond code – including testing, deployments, application security, reliability, compliance, and cost efficiency. Harness leverages AI and automation to enhance this "outer loop," enabling teams to accelerate software delivery without compromising security or governance throughout the entire software lifecycle.Utilizing the Harness AI and Software Delivery Knowledge Graph, our platform seamlessly integrates intelligent automation and governance controls throughout the software delivery process.In the past year alone, Harness facilitated over 185M deployments, 82M builds, conducted 8M security scans, and managed $2.8B in cloud expenditure, empowering clients like United Airlines and Choice Hotels to boost release speeds by up to 75% and reduce cloud costs by 60% while achieving tenfold improvements in DevOps efficiency.With a global footprint across 14 offices in 25 countries, Harness is redefining the future of AI software delivery – and we are eager to welcome exceptional talent to join our journey.Position SummaryAs an Engineering Manager under the AppSec Platform charter, you will design and develop a multi-cloud, portable, open-source streaming-first data platform that powers our API observability and security products. Your team will also manage common services in the authentication and authorization domains. This platform is vital as the core pillar for customer-facing analytics and consumption layers for various product modules including Catalog, Runtime Protection, and Application/AI Security. You will lead and cultivate a team of 8-10 engineers, driving execution, fostering innovation, and delivering high-impact platform capabilities. Additionally, you will enhance operational excellence through monitoring, reliability improvements, and cost optimization of large-scale data systems, all while contributing to our mission of becoming a global leader in the AppSec domain.

Join Acceldata as we transform data observability, enabling enterprises to manage and monitor their data effectively through innovative solutions tailored to meet distinct organizational needs. Our Open Data Platform (ODP) seamlessly integrates cutting-edge technologies to provide unparalleled data observability for modern enterprises.About the Role: We are seeking a talented Software Engineer to enhance and scale the Acceldata Open Data Platform (ODP) - a robust, enterprise-grade, open-source platform designed for cloud, hybrid, and on-premises environments. You will tackle significant technological challenges, ranging from distributed systems to data observability, assisting global clients in modernizing their platforms without vendor lock-in.This position provides an exciting opportunity to develop state-of-the-art data solutions, influence the open-source landscape, and collaborate with industry leaders. Your contributions will leave a lasting impact on our data platform and the wider open-source community.

Join Tekion as a Senior Data Platform Engineer, where you will play a crucial role in developing and optimizing our data platform. You will collaborate with cross-functional teams to build scalable data solutions that empower our business decisions and enhance user experience.

FEQ227R52 As a Solutions Architect specializing in Analytics, AI, Big Data, and Public Cloud, you will play a pivotal role in guiding the technical evaluation phase within a dynamic sales environment. Serving as a technical advisor to the sales team, you will collaborate closely with the product team as a strong advocate for customers in the field. Your mission will be to empower our customers to achieve significant, data-driven outcomes through the innovative use of our Databricks Lakehouse Platform, assisting data teams in completing projects and seamlessly integrating our platform into their enterprise ecosystems. This role presents an opportunity for you to grow as a leader in the industry, addressing our customers' most pressing challenges in big data, analytics, data engineering, and data science.

Join our dynamic team at Squircle IT Consulting Services Pvt Ltd as a Telecom Platform Architect. We are looking for a highly skilled professional to lead the design and implementation of innovative telecom solutions that drive efficiency and enhance user experience. As a key member of our engineering team, you will work closely with stakeholders to define architecture strategies, ensuring that our projects align with business objectives.

At Databricks, we are dedicated to empowering data teams to address some of the most challenging problems globally—from bringing innovative transportation solutions to life to accelerating groundbreaking medical advancements. Our mission is realized through the development and operation of the world's premier data and AI infrastructure platform, enabling our customers to harness profound data insights to elevate their businesses. Founded by engineers with a relentless focus on customer success, we eagerly embrace each opportunity to tackle technical challenges, whether it’s designing next-generation UI/UX for data interactions or scaling our services across millions of virtual machines. Our journey has just begun.As a Staff Software Engineer on the Data Platform team, you will harness state-of-the-art AI developer tools and techniques to construct Databricks' Data Intelligence Platform, which will facilitate automated decision-making throughout the organization. This role involves close collaboration with Databricks Product Teams, Data Science, and other stakeholders. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.

Discover OktaOkta is the world's leading identity management company, empowering individuals to securely access any technology, anytime, on any device or application. Our versatile products, including the Okta Platform and Auth0 Platform, offer secure access, authentication, and automation, placing identity at the forefront of business security and growth.We value diverse perspectives and experiences at Okta. We seek lifelong learners who can contribute uniquely to our team rather than just looking for candidates who meet every qualification. Join us in creating a future where identity is truly in your hands.About OktaOkta provides an enterprise-grade identity management solution, designed from the ground up in the cloud with a steadfast commitment to customer success. With Okta, you can manage access across any application, person, or device, be it employees, partners, or customers, whether applications are in the cloud or on-premise. Our solutions enhance security, increase productivity, and ensure compliance.Our service features directory services, single sign-on, robust authentication, provisioning, workflow, and built-in reporting capabilities. It operates on a secure, reliable, and extensively audited cloud platform that deeply integrates with on-premises applications, directories, and identity management systems.About the TeamThe Data Platform team is tasked with providing the foundational data services, systems, and products for Okta, significantly benefiting our users. Currently, the Data Platform team addresses challenges and enables:Streaming analyticsInteractive end-user reportingA data and machine learning platform for Okta's scalabilityTelemetry for our products and dataOur elite team is fast-paced, innovative, and adaptable. We promote ownership and hold high expectations for our engineers, rewarding them with exciting projects, cutting-edge technologies, and the opportunity to acquire significant equity in a transformative company. Okta is poised to redefine the landscape of cloud computing.About the PositionThis role presents an exciting opportunity for experienced Software Engineers to join our rapidly expanding Data Platform organization. We are committed to scaling high-volume, low-latency, distributed data services and products. As part of the Data Platform team, you will collaborate with engineers across the organization to construct the foundational infrastructure that will support Okta's growth for years to come.

About the RoleAs a Software Engineer focused on Platform and Data Infrastructure, you will be pivotal in designing and maintaining the foundational elements that drive Galileo’s platform. Your expertise will be vital in tackling complex systems challenges at scale, ensuring our infrastructure remains robust, efficient, and responsive. We are on the lookout for a skilled engineer who has hands-on experience in building large-scale real-time infrastructure, crafting services and APIs capable of processing millions of queries, and addressing the unique challenges posed by high-scale systems. Familiarity with optimizing high-volume traffic across SQL and NoSQL databases, time-series databases, and object stores is essential.What You'll Be DoingDesign and scale core infrastructure by creating and optimizing distributed systems and APIs that can manage millions of real-time queries while maintaining low latency and high reliability.Develop data-rich systems by working with SQL, NoSQL, time-series, and object storage solutions, ensuring that data pipelines and retrieval processes are optimized for maximum throughput and efficiency.Enhance performance at scale through profiling and tuning systems for latency, throughput, and cost, ensuring the platform grows in alignment with customer demand.Engage in the development of real-time serving systems by designing high-throughput caching layers and efficient data lookup services to provide swift, dependable access to extensive datasets.